
The Role
We're looking for a Revenue Operations Specialist who is equal parts systems thinker, AI enthusiast, and the connective tissue across our entire go-to-market engine. This isn't a "keep the lights on" ops role. This is a builder role — you'll be architecting the processes, automations, and AI workflows that let our BD, Sales, and Marketing teams scale faster than they ever could manually. Half your time will be spent building intelligent agents and workflows using cutting-edge AI tools. The other half? Making sure every lead, every deal, and every data point is exactly where it should be.
What You'll Own
AI-First Operations (50% of your time)
● Design, build, and iterate on AI agents and automated workflows across the entire revenue stack
● Use tools like n8n, Make, Zapier, Clay, or custom LLM pipelines to eliminate manual, repetitive work
● Proactively identify where AI can replace or augment human effort across BD, Sales, and Marketing
● Stay ahead of the curve — experiment with new AI tooling and bring the best back to the team
● Be our internal AI evangelist and help the broader GTM team use AI in their own workflows
CRM & Data Integrity
● Own the CRM (end-to-end) — structure, hygiene, workflows, and governance
● Ensure every contact, company, deal stage, and activity is accurate, consistent, and actionable
● Build dashboards and reporting that give leadership real-time visibility into pipeline health
Tools, Stack & Integrations
● Manage and optimize the GTM tech stack across Sales, BD, and Marketing
● Ensure all tools are properly integrated and data flows seamlessly between systems (CRM ↔ enrichment ↔ outreach ↔ marketing ↔ analytics)
● Evaluate and onboard new tools with a ruthless focus on ROI and adoption
Process & Enablement
● Define and document the end-to-end lead lifecycle — from first touch to closed deal
● Build scalable playbooks and SOPs that the team actually uses
● Act as the operational bridge between BD, Sales, and Marketing — breaking silos and keeping everyone aligned
● Ensure leads never fall through the cracks, and every handoff is seamless

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Key Responsibilities
● Engage proactively with potential customers through outbound calls. ● Counsel students effectively and convert potential leads into successful sales.
● Respond promptly to assigned leads and demonstrate strong follow-up skills.
● Achieve weekly and monthly performance targets in a metrics-driven environment.
● Understand customer needs and provide suitable course recommendations.
Candidate Profile
● Excellent communication skills.
● Strong proficiency in English + Tamil / Telugu / Kannada / Hindi / Marathi. Knowledge of regional languages is an added advantage.
● Passion for building a successful career in sales.
● Customer-focused with strong persuasion and negotiation abilities. ● Confident, target-oriented, and self-driven.
● Must have a laptop with functional audio/video capabilities.
· Identifying opportunities in target markets for your organization’s products and services
· Generating leads through cold calling prospective clients or networking at trade shows
· Developing and nurturing relationships with key customer accounts
· Keeping up with the latest industry developments, including market positioning of corporate competitors
· Assessing client needs and the company’s ability to meet those needs
· Following up with new leads and referrals generated from the sales team
Requirements:
- Bachelor’s degree in business, marketing or related field.
- Experience in sales, marketing or related field.
- Strong communication skills and IT fluency.
- Ability to manage complex projects and multi-task.
- Excellent organizational skills.
- Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
- Meeting with the development team to discuss user interface ideas and applications.
- Reviewing application requirements and interface designs.
- Identifying web-based user interactions.
- Developing and implementing highly responsive user interface components using react concepts.
- Writing application interface codes using JavaScript following react.js workflows.
- Troubleshooting interface software and debugging application codes.
- Developing and implementing front-end architecture to support user interface concepts.
- Monitoring and improving front-end performance.
- Documenting application changes and developing updates.
Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
- Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
- Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.
Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
- At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
- Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
- You will design and develop large scale distributed services.
- You will analyze and improve the efficiency, scalability, stability, and security of the platform as a whole.
- You will act as the primary owner of one or more components while driving innovation in your area of ownership.
- You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
- You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
- You will work independently and handle dependencies with very minimal oversight.
- You will take initiatives in developing and maintaining integrations of best practices within the back-end.
- You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.
- You have 2+ years of experience in product software development.
- You have designed and scaled up the system.
- You have a strong understanding of Data Structures and Algorithms.
- You are an incessant problem solver and tougher the problem gets, more fun you have.
- You have strong command in any one or more of the following languages: Python.
- You understand the business impact of your decisions.
YOUR RESPONSIBILITIES
· Automated testing of complex SPA Web application (brand-new software products based on unified platform, new features, bug verification), requirement testing, analysis and clarification (direct communication with product owner),
· Communication with different cross-functional teams
· Following automation testing standards set in the team
· Help to build fully automated testing pipeline
REQUIRED SKILLS AND EXPERIENCE
- 3-5 years of experience in automation testing
- Testing web-applications (UI and API), including SPA
- Black box testing (boundary values, equivalence partitioning)
- UI/UX Testing
- C# experience of 2+ years
- NUnit or similar
- Selenium WebDriver
- CSS-selectors
DESIRABLE SKILLS AND EXPERIENCE
- Basic knowledge of core JavaScript
- Desire to learn tools and techniques
- Confluence or similar
- Bug tracking system (Jira)
- TeamCity
- Allure or similar
- Jira X-Ray or similar
- Performance testing experience
- Cross-browser testing experience
- Security testing experience
PERSONAL SKILLS
· Strong spirit skills set: conflict resistant, self -motivated, result-oriented, responsible, honest, “open”, courageous
Digit88 is looking for an enthusiastic, self-motivated, hands-on Java/J2EE platform engineer to join the
back-end platform engineering team for our partner. Experience with a fast-paced India/US product
start-up or a product engineering services company in a developer role, building a high-performance
real-time system is mandatory. Applicants having experience in developing and maintaining large scale
messaging platforms are preferred. Applicants must have a passion for engineering with accuracy and
efficiency, be highly motivated and organized, able to work as part of a team, and also possess the ability
to work independently with minimal supervision.
To be successful in this role, you should possess
● Bachelor's degree in Computer Science or a related field with 7-9 years hands-on experience with
Java based open source tech stack
● Expertise in Core Java, Data Structures, J2EE with proven expertise in Spring MVC, Spring boot,
Microservices architecture, Web Services (Rest) in distributed systems
● Practical experience with MySQLand/or NoSQL databases like Couchbase, DynamoDB,
Cassandra
● Practical experience with Caching frameworks Memcached/Redis, Message Queues (JMS,
RabbitMQ)
● Practical hands-on experience in JavaScript and NodeJS
● Experience in building high performance, high availability REST APIs and REST clients
● Expertise with log file analysis using one or more of ELK, Splunk, Kibana
● Prior experience with CI/CD, Container architecture - Docker/Jenkins and build scripts Maven/Ant
● Experience with Kubernetes
● Prior experience in transformation to cloud platforms is preferred
● Experience with Kafka is a definite plus
● Experience with building analytics pipeline and analytics DB is a plus
● Strong practical experience in applying design patterns, multithreading concepts to solve complex
problems, strong problem solving skills
You are someone who would easily be able to
● Study and learn the latest in AI/NLP/Chatbots domain and the messaging platform
● Work closely with the US and India engineering teams to help build the Java/Spring based backend
and REST APIs.
● Closely collaborate with the principal engineer in the India engineering team in technical excellence
and ownership of critical modules; own the development of new modules and features
● Troubleshoot live production server issues; assume leadership responsibilities in the production
issue resolution lifecycle
● Handle client coordination and be able to work as a part of a team, be able to contribute
independently and drive the team to exceptional contributions with minimal team supervision
● Perform Unit Testing and Integration testing in a Continuous Deployment scenario
● Follow Agile methodology, JIRA for work planning, issue management/tracking
About the job
👉 TL; DR: We at Sarva Labs Inc., are looking for Site Reliability Engineers with experience to join our team. As a Protocol Developer, you will handle assets in data centers across Asia, Europe and Americas for the World’s First Context-Aware Peer-to-Peer Network enabling Web4.0. We are looking for that person who will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams and hustle through the Main Net launch.
About Us 🚀
Imagine if each user had their own chain with each transaction being settled by a dynamic group of nodes who come together and settle that interaction with near immediate finality without a volatile gas cost. That’s MOI for you, Anon.
Visit https://www.sarva.ai/ to know more about who we are as a company
Visit https://www.moi.technology/ to know more about the technology and team!
Visit https://www.moi-id.life/ , https://www.moibit.io/ , https://www.moiverse.io/ to know more
Read our developer documentation at https://apidocs.moinet.io/
What you'll do 🛠
- You will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams to ensure an appropriate degree of automation for component assembly, deployment, and rollback strategies in medium to large scale environments
- Monitor components to proactively prevent system component failure, and enable the engineering team on system characteristics that require improvement
- You will ensure the uninterrupted operation of components through proactive resource management and activities such as security/OS/Storage/application upgrades
You'd fit in 💯 if you...
- Familiar with any of these providers: AWS, GCP, DO, Azure, RedSwitches, Contabo, Redswitches, Hetzner, Server4you, Velia, Psychz, Tier and so on
- Experience in virtualizing bare metals using Openstack / VMWare / Similar is a PLUS
- Seasoned in building and managing VMs, Containers and clusters across the continents
- Confident in making best use of Docker, Kubernetes with stateful set deployment, autoscaling, rolling update, UI dashboard, replications, persistent volume, ingress
- Must have experience deploying in multi-cloud environments
- Working knowledge on automation tools such as Terraform, Travis, Packer, Chef, etc.
- Working knowledge on Scalability in a distributed and decentralised environment
- Familiar with Apache, Rancher, Nginx, SELinux/Ubuntu 18.04 LTS/CentOS 7 and RHEL
- Monitoring tools like PM2, Grafana and so on
- Hands-on with ELK stack/similar for log analytics
🌱 Join Us
- Flexible work timings
- We’ll set you up with your workspace. Work out of our Villa which has a lake view!
- Competitive salary/stipend
- Generous equity options (for full-time employees)







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